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stochastic optimization

1060 papers

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Also known as

SO SVRG SSO SGD

Co-occurring keywords

regret bound (1918) online learning (1770) variance reduction (520) multi-armed bandit (1091) convex optimization (1320) convergence rate (606) non-convex optimization (546) stochastic gradient descent (1088) gradient descent (1143) nonconvex optimization (316)

Papers

A Simple and Optimal Approach for Universal Online Learning with Gradient Variations NIPS 2024
FERERO: A Flexible Framework for Preference-Guided Multi-Objective Learning NIPS 2024
Contextual Linear Optimization with Bandit Feedback NIPS 2024
Efficient Sign-Based Optimization: Accelerating Convergence via Variance Reduction NIPS 2024
SLowcalSGD : Slow Query Points Improve Local-SGD for Stochastic Convex Optimization NIPS 2024
Local and Adaptive Mirror Descents in Extensive-Form Games NIPS 2024
Truncated Variance Reduced Value Iteration NIPS 2024
Generalization Bounds of Nonconvex-(Strongly)-Concave Stochastic Minimax Optimization AISTATS 2024
Memory-Based Optimization Methods for Model-Agnostic Meta-Learning and Personalized Federated Learning JMLR 2023
Online Saddle Point Tracking with Decision-Dependent Data L4DC 2023
Proximal Stochastic Recursive Momentum Methods for Nonconvex Composite Decentralized Optimization AAAI 2023
DOTE: Rethinking (Predictive) WAN Traffic Engineering NSDI 2023
Minimax AUC Fairness: Efficient Algorithm with Provable Convergence AAAI 2023
Existence and Estimation of Critical Batch Size for Training Generative Adversarial Networks with Two Time-Scale Update Rule ICML 2023
Towards Understanding Generalization of Graph Neural Networks ICML 2023
Optimal Online Generalized Linear Regression with Stochastic Noise and Its Application to Heteroscedastic Bandits ICML 2023
Horizon-free Learning for Markov Decision Processes and Games: Stochastically Bounded Rewards and Improved Bounds ICML 2023
Decentralized Stochastic Bilevel Optimization with Improved per-Iteration Complexity ICML 2023
Stochastic Methods for AUC Optimization subject to AUC-based Fairness Constraints AISTATS 2023
High Probability Bounds for Stochastic Continuous Submodular Maximization AISTATS 2023
ASkewSGD : An Annealed interval-constrained Optimisation method to train Quantized Neural Networks AISTATS 2023
Probably Anytime-Safe Stochastic Combinatorial Semi-Bandits ICML 2023
Revisiting Gradient Clipping: Stochastic bias and tight convergence guarantees ICML 2023
Indirect Adversarial Losses via an Intermediate Distribution for Training GANs WACV 2023
Which Tricks are Important for Learning to Rank? ICML 2023